CN112036129A

CN112036129A - Power distribution network emergency drilling scheme digital aided design system and method

Info

Publication number: CN112036129A
Application number: CN202010858363.4A
Authority: CN
Inventors: 徐震; 贾梦頔; 张郑祎
Original assignee: State Grid Corp of China SGCC; State Grid Beijing Electric Power Co Ltd
Current assignee: State Grid Corp of China SGCC; State Grid Beijing Electric Power Co Ltd
Priority date: 2020-08-24
Filing date: 2020-08-24
Publication date: 2020-12-04

Abstract

The invention discloses a digital aided design system and method for an emergency drilling scheme of a power distribution network. Wherein, this system includes: the emergency drilling scheme graphical design module is used for generating and previewing an emergency drilling scheme; the drilling process graphical design module is used for drawing and previewing a drilling process chart, wherein the drilling process chart is used for indicating the drilling process of the emergency drilling scheme; and the drilling case library module is used for managing the drilling case library, wherein the drilling case library stores information required for generating the emergency drilling case. The invention solves the technical problem of single power distribution network emergency drilling means in the related technology.

Description

Power distribution network emergency drilling scheme digital aided design system and method

Technical Field

The invention belongs to the field of emergency treatment of a power distribution network, and particularly relates to a digital auxiliary design system and method for an emergency drilling scheme of the power distribution network.

Background

The power distribution network is a link connecting the power transmission network and power consumers and is an important guarantee for ensuring the safe and stable operation of the whole power system. The power distribution network is used as an important component of a power system, and has closer and closer relationship with national security, economic development and people's life in China. Therefore, serious accidents of the power distribution network have very serious influence on public safety, national economy and daily life. Distribution network emergency drilling is the important link of distribution network emergency management, and it not only can realize training emergency command personnel and treatment personnel, and simultaneously, it can realize test and verification to emergency plan to for emergent system establishes personnel's intellectual guarantee and technical base, promote the constantly improving and continuously promoting of emergent system simultaneously.

At present, a plurality of challenges are faced in national power grid power distribution emergency drilling management and capacity construction work, and the specific expression is as follows:

emergency drilling is relatively single in means: the method mainly adopts actual combat drilling or desktop deduction, and the actual combat drilling cannot create a real scene under an accident, so that the drilling effect is influenced; the desktop deduction mainly adopts a question-answering mode based on scripts and lacks a simulation platform and technical support, so the exercise depth is influenced.

The drill systematicness is insufficient: currently, special drilling is often adopted for a power distribution network, and the drilling is mainly carried out for a certain department or several departments of the power distribution network, so that simple closed-loop simulation is carried out on an external ring section. The drill neglects the mutual influence of all links of the whole emergency system, and can not realize the verification and the drill of the whole cooperativity of the emergency system.

Loss of exercise evaluation: because the degree of digitization and modeling of the drilling plan is low, and an evaluation system and an analysis evaluation method facing each link of emergency drilling are not established, the execution degree and the accuracy of the emergency plan can only be evaluated, and the verification and the evaluation based on mechanism simulation can not be realized according to the actual drilling process.

The intelligent level of the simulation drilling system is not high: due to the defects of modeling and simulation level, the current deduction simulation system mostly adopts decision deduction of an expert knowledge base, fails to establish a disaster model of the influence of the disaster on the power grid, fails to establish the interactive influence of the disaster on emergency repair resources, and fails to realize multi-object collaborative simulation. Therefore, it is difficult for the drill system to verify the rationality of the plan.

Aiming at the problem of single power distribution network emergency drilling means in the related technology, an effective solution is not provided at present.

Disclosure of Invention

The embodiment of the invention provides a digital auxiliary design system and method for a power distribution network emergency drilling scheme, which at least solve the technical problem of single power distribution network emergency drilling means in the related technology.

In order to realize the purpose, the following technical scheme is adopted:

the utility model provides a digital aided design system of distribution network emergency drilling scheme, includes:

the emergency drilling scheme graphical design module is used for generating an emergency drilling scheme by performing structural analysis and modeling on a text emergency plan; the structural analysis and modeling of the text emergency plan comprises the following steps: identifying extraction points from three aspects of an object, a scene and a target; extracting key elements of each extraction point from the text emergency plan respectively, describing the extracted key elements in a structured form, and storing the key elements in a database; carrying out digital modeling based on the extracted key elements to obtain a digital structure model of the drilling scheme; the text emergency plan is digitally described by utilizing the drilling scheme digital structure model to obtain the emergency drilling scheme; the step of digitally describing the text emergency plan by using the exercise scheme digital structure model comprises the following steps: firstly, screening the content of the text emergency plan, screening out descriptive materials of the plan, and reserving the content of three actual execution aspects of organization structure, operation mechanism and emergency guarantee; secondly, extracting a subject set, an object set, a task set and a scheme set which are contained in an entity set in the emergency response mode by combining an emergency response mode framework; thirdly, mapping each entity set according to the emergency response mode combination of the emergency to obtain a mapping combination; fourthly, according to the execution sequence of the object set, all mapping combinations are linked to complete the digital description process of the text emergency plan;

the drilling process graphical design module is used for drawing and previewing a drilling process chart, wherein the drilling process chart is used for indicating the drilling process of the emergency drilling scheme;

and the drilling case library module is used for managing a drilling case library, wherein the drilling case library stores information required for generating the emergency drilling case.

Further, the digital aided design system of power distribution network emergency drilling scheme still includes: the log management module is used for recording the operation performed after a user logs in the digital aided design system of the power distribution network emergency drilling scheme, and the log recorded by the log management module at least comprises the following steps: system operation logs and business operation logs.

Further, the digital aided design system of power distribution network emergency drilling scheme still includes: the system management module is used for a system administrator to manage the power distribution network emergency drilling scheme digital aided design system, wherein the management at least comprises at least one of the following: authority management, menu management, system control and system online detection.

Further, the digital aided design system for the power distribution network emergency drilling scheme is composed of the following four application levels: the data layer is used for providing various information input and information maintenance management functions required in the emergency drilling process; the control layer is used for analyzing the emergency drilling scheme according to the drilling rule to obtain drilling process information and task information, scheduling each task by adopting a deduction control algorithm, and delivering data to the execution layer for deduction execution; the execution layer is used for receiving the data sent by the control layer, executing the drilling process and sending feedback data back to the control layer; and the display layer is used for graphically displaying the situation information and data in the emergency drilling process.

Further, the data layer includes at least one of: the model library is used for providing a physical digital model required to be used in the emergency drilling process; the scene library is used for providing scenes involved in the emergency drilling process; the natural weather database is used for providing relevant characteristic information of natural weather; and the scheme library is used for providing the emergency drilling scheme.

Furthermore, the drilling scheme digital structure model is a three-layer structure model which is composed of an emergency ontology base, a drilling scheme knowledge base and a knowledge access layer from bottom to top.

Further, the bottom layer is an emergency ontology base described by ontology language OWL-DL, and the emergency ontology base comprises a core concept set and a relation related to a scheme hierarchical structure; the middle layer is a drilling scheme knowledge base after the text files of each scheme are subjected to ontology semantic annotation, the drilling scheme knowledge base instantiates the concept and the relation of an emergency ontology, and a semantic search engine searches the drilling scheme knowledge base and establishes an index item of semantic annotation content for the drilling scheme knowledge base; the upper layer is a knowledge access layer, and the knowledge access layer analyzes the drilling scheme knowledge base to obtain required data and information.

The other technical scheme of the invention is as follows:

a digital aided design method for a power distribution network emergency drilling scheme is based on a digital aided design system for the power distribution network emergency drilling scheme and comprises the following steps:

1) the emergency drilling scheme is generated by carrying out structural analysis and modeling on a text emergency plan;

2) and drawing and previewing a drilling flow chart, wherein the drilling flow chart is used for indicating the drilling flow of the emergency drilling scheme.

Further, the step 1) specifically comprises:

1.1) identifying extraction points from three aspects of an object, a scene and a target;

1.2) extracting key elements of each extraction point from the text emergency plan respectively, describing the extracted key elements in a structured form, and storing the key elements in a database;

1.3) carrying out digital modeling based on the extracted key elements to obtain a digital structure model of the drilling scheme;

and 1.4) carrying out digital description on the text emergency plan by utilizing the drilling scheme digital structure model to obtain the emergency drilling scheme.

Further, step 1.4) specifically includes:

1.41) screening the content of the text emergency plan, screening out descriptive materials of the plan, and reserving the content of three actual execution aspects of organization structure, operation mechanism and emergency guarantee;

1.42) extracting four sets of a subject set, an object set, a task set and a scheme set, which are contained in an entity set in an emergency response mode, by combining an emergency response mode framework;

1.43) mapping each entity set according to the emergency response mode combination of the emergency to obtain a mapping combination;

1.44) according to the execution sequence of the object set, connecting all mapping combinations to finish the digital description process of the text emergency plan.

The invention has the following beneficial effects:

in the embodiment of the invention, the digital aided design system for the emergency drilling scheme of the power distribution network comprises: the emergency drilling scheme graphical design module is used for generating and previewing an emergency drilling scheme; the drilling process graphical design module is used for drawing and previewing a drilling process chart, wherein the drilling process chart is used for indicating the drilling process of the emergency drilling scheme; the drilling case library module is used for managing a drilling case library, wherein information required for generating an emergency drilling case is stored in the drilling case library, the emergency drilling case and the drilling flow are designed through digital and visual technical means according to actual emergency drilling requirements, the purpose of performing emergency drilling on various emergency situations on a simulation platform is achieved, the emergency drilling means of the power distribution network is richer, a real scene can be simulated, the technical effect of improving the accuracy of emergency drilling of the power distribution network is achieved, and the technical problem that the emergency drilling means of the power distribution network in the related technology is single is solved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a schematic structural diagram of a power distribution network emergency drilling scheme digital aided design system according to an embodiment of the invention;

fig. 2 is a functional architecture diagram of a power distribution network emergency drilling scheme digital aided design system according to an embodiment of the present invention;

fig. 3 is a schematic diagram of a technical architecture of a power distribution network emergency drilling scheme digital aided design system according to a preferred embodiment of the present invention;

FIG. 4 is a schematic diagram of a drill plan digitized structure model according to an embodiment of the invention;

FIG. 5 is a schematic illustration of key element identification according to an embodiment of the invention;

FIG. 6 is a schematic diagram of the overall structure of a protocol according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of an overall architectural decomposition in accordance with an embodiment of the present invention;

FIG. 8 is a schematic illustration of a tissue structure breakdown according to an embodiment of the invention;

FIG. 9 is a schematic diagram of the overall architecture of the framework of an emergency protocol according to an embodiment of the invention;

FIG. 10 is a schematic diagram of a mapping of concepts to a relational database, according to an embodiment of the invention;

FIG. 11 is a diagram illustrating a mapping of a relational database according to an embodiment of the invention.

Detailed Description

The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

The following detailed description is exemplary in nature and is intended to provide further details of the invention. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.

According to the embodiment of the invention, the embodiment of the digital auxiliary design system and method for the emergency drilling scheme of the power distribution network is provided.

Fig. 1 is a schematic structural diagram of a power distribution network emergency drilling scheme digital aided design system according to an embodiment of the present invention, and as shown in fig. 1, the system may include: an emergency drilling scheme graphical design module 11, a drilling flow graphical design module 12 and a drilling test library module 13.

And the emergency drilling scheme graphical design module 11 is used for generating and previewing an emergency drilling scheme. The emergency drilling scheme graphical design module 11 is used for realizing the function of designing the drilling scheme by the user. The emergency drilling scheme graphical design module 11 comprises the following service functions: the method comprises the steps of inputting and generating a drilling scheme, previewing an emergency drilling scheme, retrieving a full text, editing the emergency drilling scheme, deleting the emergency drilling scheme and exporting the emergency drilling scheme.

And the drilling flow graphical design module 12 is used for drawing and previewing a drilling flow chart, wherein the drilling flow chart is used for indicating the drilling flow of the emergency drilling scheme. The drilling flow graphical design module 12 realizes the function of drilling scheme graphical, the user can manually draw the drilling flow chart according to the three scenes in the implementation content, and the module also provides the flow chart templates of the three scenes for the user to refer to. The drilling process graphical design module 12 includes the following business functions: newly building an emergency drilling flow, previewing the emergency drilling flow, modifying the emergency drilling flow, deleting the emergency drilling flow and exporting the emergency drilling flow. The export function is divided into three formats as required: XML, scripts, and pictures.

And the drilling case library module 13 is used for managing a drilling case library, wherein the drilling case library stores information required for generating an emergency drilling case. The drilling pattern library module 13 is a module for managing a drilling pattern library, and when a user designs a drilling pattern, the user can dynamically add the information in the drilling pattern library to a corresponding position, which is greatly convenient for the user to design the drilling pattern. The practice scheme library is divided into: auxiliary libraries (general rule library, target library, examination key library, notice library, summary library), scene library, organization library (organization grade, organization name, organization responsibility), personnel role library (unit library, personnel library), emergency equipment library (emergency equipment type, emergency equipment library), evaluation library (evaluation content library, evaluation standard library) and emergency plan library. Each library is intended to implement four functions of adding, modifying, deleting and viewing.

Optionally, the digital aided design system for the power distribution network emergency drilling scheme may further include: the log management module is used for recording the operation performed after a user logs in the power distribution network emergency drilling scheme digital aided design system, and the log recorded by the log management module at least comprises the following steps: system operation logs and business operation logs. The log management module can record which users log in the digital drilling scheme design subsystem (namely, the digital auxiliary design system for the power distribution network emergency drilling scheme) and perform various operations. Two functions are to be implemented: system operation logs and business operation logs.

Optionally, the digital aided design system for the power distribution network emergency drilling scheme further includes: the system management module is used for a system administrator to manage the digital auxiliary design system of the power distribution network emergency drilling scheme, wherein the management at least comprises at least one of the following steps: authority management, menu management, system control and system online detection. The system management module is a module for managing the digital exercise scheme design subsystem by a system administrator. The following functions are to be realized: menu management, department personnel, authority management (personnel role, menu authority distribution), role control, system control and system online detection.

The other technical scheme of the invention is as follows:

The step 1) specifically comprises the following steps:

The step 1.4) specifically comprises the following steps:

The embodiment of the invention provides a digital and intelligent auxiliary design technology and an implementation method of a power distribution network emergency drilling scheme, and on the basis, a graphical design module for developing the emergency drilling scheme is researched to realize the design function of a multi-agent emergency drilling scheme supporting a graphical interface in a power distribution network emergency drilling auxiliary deduction simulation system software platform. The main functions of this subsystem are: the method comprises the steps of designing a drilling scheme, graphically designing a drilling process, managing the drilling scheme library, managing a log and managing a system. The user can select the corresponding function according to the service requirement.

The digital auxiliary design system for the power distribution network emergency drilling scheme provided by the embodiment of the invention has the following characteristics:

(1) intelligent aided design platform: the system construction is mainly characterized in that a scene list and a role task configuration generation method are formed by researching a drilling scheme digital implementation method and based on the drilling scheme digital analysis; the research forms an actual drilling script construction method according to the drilling target, time, participants and other actual conditions; researching implementation technologies of extracting a subject set, an object set, an action set and a relation set of emergency drilling actions according to an actual drilling scheme and an emergency plan; research is related to various entity sets in different dimensions, and digitization corresponding to the emergency drilling scheme is achieved. The method and the implementation and evaluation framework system for power grid emergency drilling with pertinence are provided, the method and the implementation and evaluation framework system for power grid emergency drilling with multiple layers, multiple means, strong pertinence and wide coverage are realized, an intelligent auxiliary deduction simulation system for emergency drilling is researched and developed, the efficiency and the level of emergency drilling are improved, and the technical system blank in the field of power emergency drilling in China is filled.

(2) Visual monitoring of power grid information: the system is based on a power grid GIS platform, is visually displayed by various modes such as various report forms, graphic curves and the like, provides a professional visual monitoring tool for power grid work, can effectively monitor power grid disaster related information, forecast early warning information and disaster occurrence conditions, can perform positioning analysis on power grid disasters, faults and hidden dangers, and provides an effective monitoring means for leaders and managers' emergency work.

(3) Comprehensive analysis of information: the system can carry out data integration and analysis display on respective service systems on the basis of the platform. The more the integrated service systems are, the larger the amount of information contained, and the more comprehensive the data provided for the decision of the related personnel. The system not only can effectively perform statistical analysis and display on the existing unprocessed data, but also can comprehensively utilize the data and mine potential useful information for statistical analysis.

(4) Abundant system operation log records: the system operation overall process is tracked and monitored, a system administrator can conveniently check the system operation log, and event analysis is facilitated.

(5) Effective authority control: the hierarchical management of the authority is realized, the reasonable distribution of the functions and the personnel roles of the system is realized, different authorities are distributed to different personnel or roles, and the purpose of sending appropriate information to appropriate personnel is achieved.

(6) The maintenance is convenient: the data of the system is originated from other business systems, and the data maintenance workload is not increased basically. The system background service is convenient to maintain, the burden of system maintenance personnel is effectively reduced, and the fault recovery time is shortened.

As an optional embodiment, the digital aided design system for the emergency drilling scheme of the power distribution network is composed of the following four application levels: the data layer is used for providing various information input and information maintenance management functions required in the emergency drilling process; the control layer is used for analyzing the emergency drilling scheme according to the drilling rules to obtain drilling progress information and task information, scheduling each task by adopting a deduction control algorithm, and delivering data to the execution layer for deduction execution; the execution layer is used for receiving the data sent by the control layer, executing the drilling process and sending the feedback data back to the control layer; and the display layer is used for graphically displaying the situation information and data in the emergency drilling process.

The digital auxiliary design system for the power distribution network emergency drilling scheme is a unified platform, namely a power distribution network emergency simulation drilling digital scheme design platform which is composed of four application levels. The data layer provides various basic necessary data information for the system, the control layer and the execution layer are in data intermodulation relation, the final drilling scheme compilation and the process script design are all sent to the display layer for real-time synchronous display, as shown in fig. 2, the functions and the technical explanation of each module are as follows:

1) and (3) a data layer: and various information input and information maintenance management functions required in the task drilling process are provided. The model library provides all physical digital models needed to be used in deduction, such as material (vehicles, transmission lines and equipment), personnel roles and the like; the scene library provides all scenes involved in the drill; the natural weather library provides relevant characteristic information including typhoon, thunder and lightning, ice coating and the like; the scheme library comprises all the drilling schemes, and each drilling scheme comprises the complete task timing sequence and the operation timing sequence of the whole drilling process.

2) A control layer: and analyzing according to the drilling rule to obtain drilling progress information and task information based on the selected emergency drilling item, scheduling each (drilling simulation) task by adopting a deduction control algorithm, and delivering data to the functional layer for deduction execution. The method relates to the technologies of extraction and data mining of key information of two-dimensional and three-dimensional data of graphs and images, deterministic and uncertain reasoning technologies, synchronous and asynchronous parallel computing technologies and the like.

3) An execution layer: and the system is responsible for the specific execution process of the whole emergency drilling process. It receives the message and data sent by the control layer, analyzes and executes the operation, and sends the feedback data (task and role status) back to the control layer; the control layer and the execution layer are core modules of the whole process design system, and therefore, the control layer and the execution layer jointly form a process deduction engine.

4) Display layer: and performing graphical (three-dimensional) representation on the situation information and data in the process of flow deduction, so that the dynamic change and the interactive information of each entity are displayed in real time, and a visual operation interactive interface in the emergency process is provided for all the drilling personnel. The displayed data comprises scene information, real-time states of various roles, various parameter prompt information and the like.

As shown in fig. 3, the system is hierarchically divided according to a hierarchical design method. The representation layer consists of JSP pages and the whole Struts framework; the presentation layer and the service logic layer are both arranged in a Web container; the data access layer is constructed by EJB, and comprises an entity Bean and a session Bean; the entity Bean is responsible for the ORM, the session Bean and its interfaces are responsible for providing the entity objects to the business logic layer.

As an optional embodiment, the emergency drilling scheme graphical design module is configured to generate the emergency drilling scheme by performing structural analysis and modeling on the text emergency plan.

Optionally, the performing structural analysis and modeling on the text emergency plan includes: identifying extraction points from three aspects of an object, a scene and a target; and respectively extracting key elements of each extraction point from the text emergency plan, describing the extracted key elements in a structured form, and storing the key elements in a database.

Optionally, the performing structural analysis and modeling on the text emergency plan further includes: carrying out digital modeling based on the extracted key elements to obtain a digital structure model of the drilling scheme; and digitally describing the text emergency plan by using the drilling scheme digital structure model to obtain an emergency drilling plan.

The digital exercise scheme is to perform structured analysis and modeling on the text emergency plan, so that the content and the flow of the original scheme can be embodied, and overall judgment and quantitative decision information can be made on the basis of instant feedback of situation development by combining technologies such as GIS, simulation and monitoring. The digital drilling scheme has the function of really enabling the drilling scheme to become an operable, visual, observable and quantifiable emergency plan in emergency management work. Meanwhile, intelligent auxiliary design software for developing an emergency drilling scheme is developed, so that a drilling scheme designer can conveniently make a drilling flow, a drilling process can be previewed, and problems can be conveniently found and optimized.

The exercise scheme is analyzed in a digital mode, information such as event information, emergency organization and responsibility, emergency resources and the like in the exercise scheme is extracted, the sequence of accident development and the emergency response process are analyzed, and a scene list and task configuration of roles are generated. According to the practice target, time, the participants and other actual conditions, the practice planning personnel can edit the presentation form, duration, trigger conditions, task execution time, selectivity and the like of the scene to form a script meeting the actual practice requirement. Extracting a subject set, an object set, an action set and a relationship set of emergency drilling actions according to an actual drilling scheme and an emergency plan, and then associating the extracted various entity sets in different dimensions to complete digitization of the emergency drilling scheme; the digitalized drilling scheme can be used for intelligent operation, automatically controlling the drilling process, automatically reminding the participators of drilling and the like. To realize the function, a digital structure model of the drilling scheme needs to be established.

As shown in fig. 4, the digital structure model of the drilling scheme is a three-layer structure model composed of an emergency ontology base, a drilling scheme knowledge base and a knowledge access layer from bottom to top, and the structure model is shown in the following figure, and as can be seen from the following figure, the bottom layer of the digital plan structure model is an ontology language OWL-DL description public emergency ontology base which contains core concept sets and relations related to the scheme hierarchy; the last layer is a practice scheme knowledge base after the text files of each scheme are subjected to ontology semantic annotation, the practice scheme knowledge base instantiates concepts and relations of an emergency ontology, an emergency semantic search engine searches the knowledge bases and can establish index items of semantic annotation contents for the knowledge bases; the top layer is a knowledge access layer which parses an ontology knowledge base or an index database to obtain the required data and information.

According to the digital structure model of the drilling scheme, a text emergency plan can be obtained to carry out a digital description process:

the first step is as follows: and screening the content of the emergency plan. Firstly, illustrative materials such as the application range of a plan, a plan target, a plan principle and the like are screened out, and the contents of three actual execution aspects of organization structure, operation mechanism and emergency guarantee are reserved.

The second step is that: and extracting the entity set. And extracting four sets of a subject set, an object set, a task set and a scheme set, which are contained in an entity set in the emergency response mode, by combining an emergency response mode framework.

The third step: and establishing entity set relation mapping. According to the relationship defined by induction, the entities are mapped according to the emergency response mode combination in a mode of 1:1 and 1: N.

The fourth step: and connecting the mapping combinations in series according to the object set. And combining and linking all the mappings formed in the third step according to the execution sequence of the object set to complete the formal description process of the emergency plan of the emergency.

The embodiment of the invention also researches the intelligent auxiliary design based on the drilling content, establishes a set of expert system based on analyzing the incidence relation between the theme, object, task and scheme associated with the drilling content, and can reason the drilling scheme according to the target content of the drilling scheme so as to generate a frame of the drilling scheme, thereby being beneficial to the planning personnel to further refine the design. The knowledge structure of the related expert system is designed based on a unitized scene, so that the flexibility and the self-adaptability of the whole reasoning system are ensured.

In order to ensure the reasonability and authority of element identification, the embodiment of the invention researches the feasibility of various methods for identifying key elements in emergency drilling of the power distribution network, and finally selects a brainstorming method, a Delphi method and a scenario analysis method as the identification methods of the key elements. Wherein, the detailed process of the above-mentioned identification scheme will not be described in detail here.

Based on the key element identification method, starting from three key core elements of a drilling object, a scene and a target, identifying an extraction point, as shown in fig. 5:

the object aspect comprises an emergency organization and emergency resources, wherein the element points of the emergency organization comprise: the level of the emergency organization, the emergency organization responsible, the emergency organization primary members, and the primary responsibilities of the emergency organization; the essential points of the emergency resource include: resource type, resource quantity, mechanism to which the resource belongs, and geographic spatial position of the resource.

The drilling scene comprises description information which is classified, and the drilling scene is summarized to be composed of an emergency and ambient environment information, wherein the element points of the emergency comprise: disaster causing elements, state elements, development prediction elements; the element points of the surrounding environment include: socio-economic conditions, natural environmental conditions, emergency facility distribution conditions, and information that provides assistance to emergency decisions.

The drill targets mainly explain "who completes what task under what conditions, and what effect is achieved according to what standard" element points include: assessment personnel, assessment conditions, assessment tasks, basis standards and expected effects.

The element extraction is to carry out structuring processing on the information contained in the text and deliver the information into an organization form like a table. The input element extraction system is original text, and the output is fixed format information points. Information points are extracted from a wide variety of documents and then integrated together in a unified conceptual schema. This is the main task of element extraction. Generally, the extracted information is described in a structured form, and can be directly stored in a database for user query and further analysis and utilization.

Research and application of element extraction technology are increasingly active. In research, the following aspects are mainly focused: the method utilizes machine learning technology to enhance the portability of the system, explore deep understanding technology, chapter analysis technology, multilingual text processing capability, WEB element extraction (Wrapper) and processing of time information and the like. In the aspect of application, the field of element extraction application is wider, and besides a self-formation system, a powerful information service system is often established by combining with other document processing technologies.

The Web element extraction technology can be classified into various classification modes according to various aspects such as a semantic addition mode, a mode definition mode, a rule expression mode, a semantic item positioning mode, an object positioning mode and the like, and can be classified into 3 categories, i.e., manual element extraction, semi-automatic element extraction and full-automatic element extraction, according to the degree of automation. Existing tools are classified into the following categories according to the principles employed by the various tools: element extraction based on a natural language processing method, element extraction based on a wrapper induction method, element extraction based on an Ontology method, element extraction based on an HTML structure, element extraction based on a Web query, and the like. The detailed description of the above various extraction methods is omitted here.

Key technologies of the element extraction system may include:

1. named entity recognition

Named entities are basic information elements in text and are the basis for correctly understanding the text. In a narrow sense, a named entity refers to a concrete or abstract entity in the real world, such as a person, an organization, a company, a place, etc., and is typically represented by a unique identifier (a proper name), such as a person name, an organization name, a company name, a place name, etc. Broadly speaking, a named entity can also contain a time, a quantity expression, and the like. The exact meaning of a named entity can only be determined by the specific application.

Named entity recognition is the determination of whether a text string represents a named entity and determines its category. Named entity recognition is currently the most practical technique in element extraction research. The difficulty in named entity identification is:

(1) under different fields and scenes, the extension of named entities is different;

(2) the number is huge, the enumeration is impossible, and the whole dictionary is difficult to be included;

(3) some types of entity names change frequently and no strict rule can be followed:

(4) the expression forms are various;

(5) the first appearance is often followed by abbreviations.

The method for identifying the named entity mainly comprises the following steps: rule-based methods and statistical-based methods. In general, rule-based methods perform better than statistical-based methods. However, these rules tend to be dependent on the specific language, domain, text format, are time consuming and error prone to the programming process, and require experienced linguists to complete. In contrast, the statistics-based method utilizes the artificially labeled corpus for training, does not require extensive computational linguistic knowledge when labeling the corpus, and can be completed in a short time. Therefore, such systems can be migrated to new domains with little or no modification, as long as they are trained once with new corpora. Furthermore, it is relatively easy for a statistics-based system to migrate to other natural language text.

2. Syntactic analysis

The syntactic analysis of an input to obtain some structural representation, such as a complete parse tree or a set of parse tree fragments, is the basis for a computer to understand natural language. A clear trend in the field of element extraction is that more and more systems employ partial analysis techniques, which are mainly due to the following three reasons.

The first is the particularity of the element extraction task itself, that is, the information to be extracted is usually only a limited number of events or relationships in a certain field. Thus, only a small portion of the text may be relevant to the extraction task. Moreover, for each sentence, it is not necessary to obtain a complete structural representation thereof, as long as some specific relationships between partial fragments are recognized, only partial subgraphs of the complete parse tree are obtained.

The second is the success of the partial analysis technique in the MUC series evaluation. SKI began using a hierarchical finite state automata (CascadedFinite-State Automata) analysis method in the FASTUS system participating in MUC-4 evaluation. The FASTUS system has the advantages of simple concept, high running speed, short development period and the like, and is in the leading position in multiple MUC evaluations.

Finally, part of the analytical methods are prevalent because we currently have no other better options. At present, the robustness and the space-time overhead of the complete analysis technology are difficult to meet the requirements of an element extraction system. On the other hand, however, we also see that: some of the analysis techniques can only achieve the current level of processing capability of the element extraction system, and in order to make the performance of the element extraction system significantly leap forward, more effective analysis techniques must be searched for.

3. Discourse analysis and reasoning

Generally speaking, events and relationships of interest to a user tend to be spread over different locations of text, where the entities involved can often be expressed in many different ways, and there is also much factual information implicit in the text. In order to extract relevant information from text accurately and without omission, the element extraction system must be able to identify coreference phenomena in the text, making the necessary reasoning to incorporate pieces of information describing the same event or entity. In addition to solving the intra-text co-reference problem, the element extraction system also needs to solve the inter-text (cross-text) co-reference problem.

In the case of a wide range of text sources, it is likely that there are multiple texts describing the same event: semantic ambiguity may exist between different texts in the same entity, for example, the same word has different meanings, and different words represent one meaning. In order to avoid duplication and collision of information, the element extraction system needs to have the capability of recognizing and processing these phenomena. From the evaluation results of MUC-6 and MUC.7 on partial chapter processing capacity (i.e., coreference resolution of the named phrases) of the element extraction system, the chapter processing capacity is a weak item of the existing element extraction system, is a bottleneck, and needs to be deeply researched and improved.

4. Knowledge acquisition

As a natural language processing system, the element extraction system requires support of a powerful knowledge base. The structure and content of the knowledge base are different in different element extraction systems, but generally speaking, the following methods are required: a dictionary (Lexicon) for storing static attribute information of the common vocabulary and the domain vocabulary; an extraction patterns Base (extraction patterns Base), each pattern can have additional (semantic) operation, and the patterns Base is generally divided into a general part and a field (scene) special part; a conceptual hierarchical model (Ontology), usually domain-specific or scene-specific, is a local refinement or generalization of a generic conceptual hierarchical model. In addition, there may be a discourse analysis and inference rule base, a template fill rule base, and the like.

As previously mentioned, element extraction systems are generally application-specific or scenario-oriented. This field limitation determines that the main knowledge used in the element extraction system is the so-called shallow knowledge. The knowledge is not high in abstraction level, is usually only suitable for a specific application field, and is difficult to be reused in other fields. Therefore, the knowledge acquisition problem has become a major obstacle that restricts the widespread application of the element extraction technique. Besides affecting the portability of the system, the method is also a main factor affecting the performance of the system.

There are generally two strategies that can be employed for domain knowledge acquisition: manual + assistance tool (graphical user interface); automatic/semi-automatic + manual proofreading. The former is relatively simple, and manual work is still the main body, and only provides a plurality of graphical auxiliary tools for the transplanters so as to facilitate and accelerate the domain knowledge acquisition process. The latter adopts machine learning technology with guidance, without guidance or indirect guidance to automatically or semi-automatically acquire domain knowledge from text corpora, and the degree of manual intervention is low. In fact, these two strategies are not completely contradictory, but only differ in the degree of automation. In a sense, the first strategy is still a process of manually compiling knowledge base, and the knowledge bottleneck problem is only relieved to some extent. The second strategy is the real exit to solve the bottleneck problem of knowledge acquisition of the element extraction system.

The main flow of element extraction may include:

(1) text blocking: the input text is divided into different partial blocks.

(2) Pretreatment: the resulting text block is converted into a sequence of sentences, each sentence consisting of vocabulary items (words or phrases of a particular type) and associated attributes (e.g., parts of speech).

(3) And (3) filtering: irrelevant sentences are filtered out.

(4) Pre-analysis: certain small structures, such as noun phrases, verb phrases, side-by-side structures, etc., are identified in a sequence of Lexical Items (Lexical Items).

(5) And (3) analysis: a complete parse tree or set of parse tree fragments describing the structure of a sentence is created by analyzing the sequence of small structures and vocabulary items.

(6) Fragment combination: if the complete parse tree is not obtained in the previous step, the parse tree fragment set or logical form fragments need to be combined into a parse tree or other logical representation form of the whole sentence.

(7) Semantic interpretation: semantic structures, meaning representations, or other logical forms are generated from a set of parse trees or parse tree fragments.

(8) Word disambiguation: and resolving the ambiguity existing in the last module to obtain a unique semantic structure representation.

(9) Performing coreference digestion or chapter treatment: the semantic structure representation of the current sentence is incorporated into the previous processing results by determining different descriptions of the same entity in different parts of the text.

(10) Template generation: the final template is generated from the semantic structural representation of the text.

The traditional plan cannot adapt to the emergency requirements for rapidly and reasonably processing various sudden natural disasters in the aspects of compilation, review, revision, retrieval, timeliness, operability and the like. Therefore, under the background of the rapid development of modern information technology, a set of digitized emergency plan completeness evaluation system which fully utilizes network technology and database technology must be established so as to compile, submit, store, retrieve, review, revise and use plans more quickly and effectively from a wider range.

Regarding the digital plan, there is no standard definition at present, and the definition proposed by some domestic research institutions and scholars is to apply various digital technologies, such as a geographic information technology, a global positioning technology, a remote sensing technology, a disaster prediction and evolution simulation technology, a 3D image display technology, and the like, to the execution process of the emergency plan, and according to the disposal process of the emergency, on the basis of the situation development instant information, develop the text plan into a series of emergency operation programs that can be sequentially executed along with the evolution process of the emergency, automatically analyze emergency nodes such as early warning levels, response levels, restoration and reconstruction according to the situation, prompt an emergency strategy, optimally select a disposal scheme, and can assist a decision maker to judge what should be done and how to do, thereby greatly improving the emergency disposal efficiency of the emergency.

The project library should express as much information as possible of the case in a structured manner. A typical case usually contains 3 parts of description of the crisis scenario, emergency scenario, scenario implementation and evaluation. The representation of the case can also be considered to be a representation of knowledge, i.e. representing the coping knowledge of the accident as information that can be recognized by a computer. The case expression also follows a certain rule to form a canonical structure for the later retrieval and management. A base body may be used as the upper body. And expanding the vocabulary expressing the emergency plan to form an emergency plan body, and finally forming a plan library described by the body language. In addition, described from the concept of entity sets and relationships. Obtaining an emergency response pattern from an emergency response plan requires extracting knowledge about the two types of abstract sets of patterns. The individual protocols have a multi-segment theme, unstructured. The minimum partition for the contingency plan decomposition is a word, but this is meaningless for contingency response requirements. Paragraphs express certain meanings. The knowledge requirements of the emergency response mode can be fully described. However, redundant modifications and auxiliary components can easily disturb the concept of the decision maker. Therefore, we need to extract knowledge related to two types of abstract sets to compose an emergency response mode. The method realizes the formal description of the emergency plan of the emergency through a framework, and the method is the general idea of the formal description method.

In the embodiment of the invention, the digital honda modeling mode of the emergency drilling scheme can include, but is not limited to; the method comprises the following steps of modeling based on a network ontology language OWL, modeling based on a frame representation method, modeling based on an E-R model mode of an emergency plan ontology and the like.

Modeling based on web ontology language (OWL)

Overall plan structure decomposition as shown in fig. 6, ERP: emergency response plan (emergency response plan); resourcelD (knowledge resource number): the unique identification of the plan is the attribute inherited from resource; resourceName (knowledge resource name): an attribute inherited from resource; description (description): an attribute inherited from Resource; resourceContent (report content): the content of the report, inherited from the Resource attribute; relatedFiles (related files): marking related documents; relatedERP (related protocol): marking related plans; relatedLaw (related legislation): indications of relevant regulations. The overall decomposition is as shown in fig. 7, and the basis of the decomposition is that the user performs selection operation rather than inputting addition operation when trying to create the template, so that the operation amount of the user is reduced, and good support is provided for the user to quickly create the template. However, when writing the 2 blocks of the program and the working principle, the entry by manual input cannot be avoided, because the 2 items cannot be structurally decomposed and can only be represented by pure character entry. As shown in fig. 8, the organization command system and the responsibility task decomposition are configured to decompose an organization structure, list all departments participating in the natural disaster emergency plan, where the departments are in a parallel relationship, and annotate the departments by using "responsibility task", "operation mechanism", "organizer" and "contact information" as their attributes. The template created in this way also enables the user to conveniently perform the selection operation.

Modeling based on frame representation

The framework is a method for knowledge representation, and the basic idea is as follows: the knowledge of various objects in the real world is stored in a memory in a structure similar to a frame, when a new object is faced, a proper frame is found from the memory, and the details of the frame are modified and supplemented according to actual conditions, so that the knowledge of the current object is formed. In framework theory, a framework is the basic unit of knowledge and is represented by a set of interrelated frameworks.

As shown in fig. 9: 1) emergency plan knowledge structure analysis

Since an emergency case is a handling process for an emergency, the essential contents thereof include three aspects: participants of the emergency process (disposal subjects), the emergency itself (disposal objects), the corridor emergency materials (disposal tools), and disposal decisions (disposal methods) that relate the three.

(1) Disposal subject-all participants

(2) Handling object-incidents

(3) Emergency material

(4) Handling instructions

2) Framework representation

According to the analysis, a framework system of the emergency case is established according to the information of the four subjects of the disposal subject, the object, the emergency material and the disposal instruction.

(1) Framework representation of treatment subject

(2) Emergency framework representation

(3) Emergency materials framework representation

(4) Handling instruction framework representations

E-R model mode modeling based on emergency plan ontology

The text form of the electric power emergency plan content is arranged into a form which can be understood by a computer, so that the computer can conveniently play the advantages of automation, high speed and accuracy in the emergency disposal process. The method for mapping the ontology model and the relational database is used for designing a digital emergency plan storage scheme based on the relational database and designing 3 query modes to meet the requirements of different users on query.

(1) Formalized representation

Ontologies are an important formalization, and the basic elements are summarized into concepts (or classes), relationships, functions, axioms, and instances. Concepts represent a collection of objects of a certain class; relationships represent interactions between concepts in the domain; the function is a special relation, and the first n-1 elements of the relation can uniquely determine the nth element; axiom stands for eternal true assertion; an instance represents a specific object.

The PLAN can be represented as a triplet PLAN, i.e., < ID, MngInfo, PLCnt >, wherein each element represents a unique PLAN identifier, PLAN management information, and PLAN content. Each element is an attribute of a concept. The plan management information is a record of programs for making, modifying, validating and the like of the plan. The content of the plan is the core of the emergency plan and is used for guiding the power emergency disposal work.

The protocol contents can be expressed as six tuples, PLCnt ═ Orgs, Events, Acts, Rules, Constrs, Res >. Orgs is a collection of various organizations; events are various Event sets defined in an emergency plan, wherein a Disaster Event Disaster is a relatively important Event, such as an equipment failure Event, a power grid safety Event and the like, and generally determines the type and content information of the plan; acts is the set of treatment measures involved in the protocol; rules is a rule set in a plan, and is equivalent to a function in an ontology component element; constrs is the set of constraints in the protocol; res is the set of resources in the plan.

Organization Org may be defined as a quadruplet of Org < ID, name, persistence >, where each element represents an organization identity, an organization name, a member list, a responsibility range, respectively.

The Disaster event Disaster can be defined as a quintuple of "ID, type, level, place, range", where each element represents an event number, an event type, an event level, an occurrence location or area, and an influence range.

Rule represents the behavior specification of each principal in an emergency setting. Rule uses ECA Rule description, i.e. Rule ═ ID, Event, Cond, Acts >, i.e. Rule numbered ID, specifies that when Event happens, if condition specified by Cond is met, workflow Acts is executed, which includes several measures Act. As can be seen, the rules represent a functional mapping of events, conditions, and workflows. Events and Cond use predicate logic representations.

The measure Act can be expressed as a quintuple, Act ═ ID, Agents, Act type, obj, res >, which is the minimum unit of treatment measures. Wherein each element represents an action number, a set of subjects (which may be organizations, stations, automation, etc.) for action execution, a measure type, and an operation object, respectively. The Act type has a mapping relation with the responsiveness attribute of the organization, so that the range of the Act for executing the Agent of the subject set s can be determined.

Constraint Constr represents conditions that must be met by a disposal process specified in a protocol, including subjective requirements such as legal regulations, policy policies, superior directives, and the like, as well as objective rules represented by various objective physical models, which may be represented by first-order predicates.

The resource Res generally refers to various objective conditions required for event prevention, emergency preparation, emergency response, and emergency recovery, and may be classified into human resources, material resources, information resources, technical resources, policy resources, and the like.

Note that: constraints are conditions that must be met in emergency treatment; a rule is decision reference information in emergency treatment, which indicates what manner of treatment is appropriate under certain conditions, and may or may not be employed in the treatment.

There are 4 kinds of relationships, part-of, kid-of, instance-of and attribute-of, which respectively represent the relationship between parts and the whole, the inheritance relationship between concepts, the relationship between instances and concepts, and the relationship between attributes and concepts.

(2) Digital storage

As shown in fig. 10, the information in the power emergency plan ontology model is saved in the database in a relational form by using a simple mapping method. The example of the concept in the ontology model can correspond to a table of a relational database, the name of the concept is used as a class name, the name of the attribute of the concept is used as a field name, and the multi-value attribute is divided into a plurality of single-value attributes to be stored in a plurality of fields. Each line records an instance of the concept, the number of lines being equal to the number of instances. When a concept has nested attributes (meaning that an attribute contains an unknown number of elements), a table containing foreign key constraints is additionally built.

As shown in FIG. 11, the relationships in the ontology model are mapped as a cross-table in the relational database with foreign key constraints. The fields of the table are divided into a concept field and a relationship type field. The concept column records the ID of each concept, and the relationship column records the relationship type.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.

Claims

1. The utility model provides a digital aided design system of distribution network emergency drilling scheme which characterized in that includes:

the emergency drilling scheme graphical design module is used for generating an emergency drilling scheme by performing structural analysis and modeling on a text emergency plan;

the structural analysis and modeling of the text emergency plan comprises the following steps: identifying extraction points from three aspects of an object, a scene and a target; extracting key elements of each extraction point from the text emergency plan respectively, describing the extracted key elements in a structured form, and storing the key elements in a database; carrying out digital modeling based on the extracted key elements to obtain a digital structure model of the drilling scheme; the text emergency plan is digitally described by utilizing the drilling scheme digital structure model to obtain the emergency drilling scheme;

the step of digitally describing the text emergency plan by using the exercise scheme digital structure model comprises the following steps: firstly, screening the content of the text emergency plan, screening out descriptive materials of the plan, and reserving the content of three actual execution aspects of organization structure, operation mechanism and emergency guarantee; secondly, extracting a subject set, an object set, a task set and a scheme set which are contained in an entity set in the emergency response mode by combining an emergency response mode framework; thirdly, mapping each entity set according to the emergency response mode combination of the emergency to obtain a mapping combination; fourthly, according to the execution sequence of the object set, all mapping combinations are linked to complete the digital description process of the text emergency plan;

and the drilling case library module is used for managing a drilling case library, wherein the drilling case library stores information required for generating the emergency drilling scheme.

2. The digital aided design system for power distribution network emergency drilling schemes of claim 1, wherein the digital aided design system for power distribution network emergency drilling schemes further comprises:

the log management module is used for recording the operation performed after a user logs in the digital aided design system of the power distribution network emergency drilling scheme, and the log recorded by the log management module at least comprises the following steps: system operation logs and business operation logs.

3. The digital aided design system for power distribution network emergency drilling schemes of claim 1, wherein the digital aided design system for power distribution network emergency drilling schemes further comprises:

the system management module is used for a system administrator to manage the power distribution network emergency drilling scheme digital aided design system, wherein the management at least comprises at least one of the following: authority management, menu management, system control and system online detection.

4. The digital aided design system for the power distribution network emergency drilling scheme is characterized by comprising the following four application levels:

the data layer is used for providing various information input and information maintenance management functions required in the emergency drilling process;

the control layer is used for analyzing the emergency drilling scheme according to the drilling rule to obtain drilling process information and task information, scheduling each task by adopting a deduction control algorithm, and delivering data to the execution layer for deduction execution;

the execution layer is used for receiving the data sent by the control layer, executing the drilling process and sending feedback data back to the control layer;

and the display layer is used for graphically displaying the situation information and data in the emergency drilling process.

5. The power distribution network emergency drilling plan digitization aided design system of claim 4, wherein the data layer comprises at least one of:

the model library is used for providing a physical digital model required to be used in the emergency drilling process;

the scene library is used for providing scenes involved in the emergency drilling process;

the natural weather database is used for providing relevant characteristic information of natural weather;

and the scheme library is used for providing the emergency drilling scheme.

6. The power distribution network emergency drilling scheme digital aided design system according to claim 1, wherein the drilling scheme digital structure model is a three-layer structure model consisting of an emergency ontology base, a drilling scheme knowledge base and a knowledge access layer from bottom to top.

7. The digital aided design system of the emergency drilling scheme of the power distribution network according to claim 6, wherein the bottom layer is an emergency ontology library described by ontology language OWL-DL, and the emergency ontology library comprises core concept sets and relations related to a scheme hierarchical structure;

the middle layer is a drilling scheme knowledge base after the text files of each scheme are subjected to ontology semantic annotation, the drilling scheme knowledge base instantiates the concept and the relation of an emergency ontology, and a semantic search engine searches the drilling scheme knowledge base and establishes an index item of semantic annotation content for the drilling scheme knowledge base;

the upper layer is a knowledge access layer, and the knowledge access layer analyzes the drilling scheme knowledge base to obtain required data and information.

8. A power distribution network emergency drilling scheme digital aided design method is characterized in that the power distribution network emergency drilling scheme digital aided design system based on claim 1 comprises the following steps:

9. The digital aided design method for the emergency drilling scheme of the power distribution network according to claim 8, wherein the step 1) specifically comprises:

10. The digital aided design method for the emergency drilling scheme of the power distribution network according to claim 9, wherein the step 1.4) specifically comprises: